class_docstr: PyTorch version of the AutoregressiveActionModel above.
class_docstr_tok: ["PyTorch","version","of","the","AutoregressiveActionModel","above","."]
code: def value_function(self):
      return torch.reshape(self.value_branch(self._context), [-1])
  
file_path: ray/rllib/examples/models/autoregressive_action_model.py
imports: from gymnasium.spaces import Discrete, Tuple
  from ray.rllib.models.tf.misc import normc_initializer
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.torch.misc import normc_initializer
  from ray.rllib.models.torch.misc import SlimFC
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 3 for calling the TorchAutoregressiveActionModel obj's underlying member method code with example usage: obj.value_function() and returns: torch